Estimating lime requirements for tropical soils: Model comparison and development

被引:7
|
作者
Merlos, Fernando Aramburu [1 ,2 ]
Silva, Joao Vasco [3 ]
Baudron, Frederic [3 ]
Hijmans, Robert J. [1 ]
机构
[1] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA
[2] Consejo Nacl Invest Cient & Tecn, Inst Innovac Prod Agr & Desarrollo Sostenible IPA, INTA, Balcarce, Buenos Aires, Argentina
[3] Int Maize & Wheat Improvement Ctr CIMMYT, Harare, Zimbabwe
关键词
Acid soil; Exchangeable acidity; Aluminum saturation; Base saturation; pH; Calcium carbonate equivalent; ALUMINUM; PH; MANAGEMENT; CAPACITY; CERRADO; ACIDITY; OXISOLS; BRAZIL;
D O I
10.1016/j.geoderma.2023.116421
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models' ability to predict the amount of lime needed to reach a target change in soil chemical properties with data from four soil incubation studies covering 31 soil types. Two foundational models, one targeting acidity saturation and the other targeting base saturation, were more accurate than the five models that were derived from them, while the LiTAS model was the most accurate. The models were used to estimate lime requirements for 303 African soil samples. We found large differences in the estimated lime rates depending on the target soil chemical property of the model. Therefore, an important first step in formulating liming recommendations is to clearly identify the soil property of interest and the target value that needs to be reached. While the LiTAS model can be useful for strategic research, more information on acidity-related problems other than aluminum toxicity is needed to comprehensively assess the benefits of liming.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Estimating pollutant removal requirements for landfills in the UK: II. Model development
    Hall, D. H.
    Drury, D.
    Gronow, J. R.
    Rosevear, A.
    Pollard, S. J. T.
    Smith, R.
    ENVIRONMENTAL TECHNOLOGY, 2006, 27 (12) : 1323 - 1333
  • [33] SURFACE-CHARGE CHARACTERISTICS AND LIME REQUIREMENTS OF SOILS DERIVED FROM BASALTIC, GRANITIC, AND METAMORPHIC ROCKS IN HIGH-RAINFALL TROPICAL QUEENSLAND
    GILLMAN, GP
    SUMPTER, EA
    AUSTRALIAN JOURNAL OF SOIL RESEARCH, 1986, 24 (02): : 173 - 192
  • [34] Structural and hydraulic responses of humid tropical soils to lime and organic residue amendments
    Francis, Ronen
    Bramble, De Shorn E.
    Wuddivira, Mark N.
    Gouveia, Gregory A.
    SOIL RESEARCH, 2022, 60 (01) : 73 - 85
  • [35] CHEMICAL-VARIABLES AFFECTING THE LIME REQUIREMENT DETERMINATION OF TROPICAL PEAT SOILS
    HUSNI, MHA
    DEVI, S
    MANAS, AR
    ANUAR, AR
    SHAMSHUDDIN, J
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 1995, 26 (13-14) : 2111 - 2122
  • [36] Stabilisation of tropical soils with lime mud: materials characterisation and pavement structural analyses
    Lopes, Emerson Cordeiro
    da Silva, Taciano Oliveira
    Pitanga, Heraldo Nunes
    Mendes, Anselmo Jose Coelho
    Nalon, Gustavo Henrique
    Rodrigues, Klaus Henrique de Paula
    ROAD MATERIALS AND PAVEMENT DESIGN, 2025,
  • [38] Comparison of lime treatment techniques for deep stabilization of expansive soils
    Kumar, K. S. R.
    Thyagaraj, T.
    INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING, 2021, 15 (08) : 1021 - 1039
  • [39] COMPARISON OF LIME REQUIREMENT METHODS ON ACID SOILS OF NORTHERN GREECE
    TSAKELIDOU, R
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 1995, 26 (3-4) : 541 - 551
  • [40] Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils
    Nguyen, Phuong M.
    Haghverdi, Amir
    de Pue, Jan
    Botula, Yves-Dady
    Le, Khoa V.
    Waegeman, Willem
    Cornelis, Wim M.
    BIOSYSTEMS ENGINEERING, 2017, 153 : 12 - 27